Networks and franchises
Your franchisees pay the marketing fee. Do they know what it earns them?
Headquarters runs a national budget. The field wants local numbers. As long as nobody can prove what the fee produces location by location, the marketing committee turns into a trial of intent.
Free audit, no commitment. Response within 24 business hours.
Indicative estimate. The free audit measures the real figure on three of your locations.
This is not a data problem. It's a trust problem.
No tool on the market addresses the question that actually poisons networks: who funds what, and for what result.
They pay a fee every month and never see what it produces in their city. In the absence of proof, they assume the worst.
It defends a national budget with national numbers. Its tools reason by channel, never by location.
Currencies, inverted seasonality, different maturities. A center opened six months ago always looks bad.
One network, two levels of reading
The headquarters view
All your locations side by side, comparable. Acquisition mix, budget, customers generated, normalized cost to arbitrate between markets.
ManagementThe franchisee view
Deliberately simple. Four numbers that matter, a glossary that explains them, an FAQ that answers the field's real questions.
AdoptionMedia connected to the business
Your booking system, till, or CRM is plugged in via API. You no longer manage a web conversion, but real footfall.
IntegrationFrom your sources to the decision
Four steps. None of them rests on your teams: the platform is ours, the integration happens on our side.
Your sources get connected
Ad platforms, analytics, Search Console, your CRM, your business APIs. You provide the access, Nanga does the wiring. No line of code on your side, no ticket for your IT.
Click a step to explore at your own pace
The question isn't “do we have the internal resources for this project”. The question is “do we have three cities to get audited”.
Marketing doesn't explain everything. Neither does your data, taken separately.
Once your acquisition data and business data are joined, almost any external source can be plugged in. That's often where the explanations nobody was looking for turn up.
Historical and forecast weather, by city
Correlation between weather conditions, store footfall, and product categories sold.
Rain gear sales don't take off when it rains, but three days earlier, when the forecast lands. Sailing sales depend less on sun than on wind, with a precise threshold beyond which footfall collapses.
Budget is no longer steered by the calendar but by the weather forecast, city by city and category by category. Spend triggers when demand arrives, and cuts off when it won't come.
What we get asked first
Three locations. One quantified assessment.
Nanga analyzes the local visibility of three of your locations: what you pay in advertising, what you already capture for free organically, and what AI engines answer when a customer searches for your brand in those cities.
Free, no commitment. Data hosted in Europe.